Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data

In the area of Big Data, one of the major obstacles for the progress of biomedical research is the existence of data “silos” because legal and ethical constraints often do not allow for sharing sensitive patient data from clinical studies across institutions. While federated machine learning now all...

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Bibliographic Details
Main Authors: Luise Gootjes-Dreesbach, Meemansa Sood, Akrishta Sahay, Martin Hofmann-Apitius, Holger Fröhlich
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Big Data
Subjects:
Bayesian Networks
autoencoders
clinical study simulation
longitudinal data
time series data
Online Access:https://www.frontiersin.org/article/10.3389/fdata.2020.00016/full

Internet

https://www.frontiersin.org/article/10.3389/fdata.2020.00016/full

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